Define the baseline, cohort and reward states
Decision contract
- One eligible-member cohort and an aligned non-member or pre-programme baseline. (not complete)
- One observation period and finite contribution horizon. (not complete)
- A customer, purchase and retention definition that does not change between scenarios. (not complete)
- A contribution boundary including variable product/service, fulfilment, return and support costs. (not complete)
- Separate records for rewards promised, issued, earned, redeemed, expired and economically consumed. (not complete)
- Programme platform, administration, training, customer-service and measurement costs. (not complete)
Build a signed loyalty contribution ledger
scenario value = incremental member contribution - reward economic cost - programme operating cost - incremental service cost
- incremental member contribution
- Contribution above the aligned baseline within the finite horizon (CU per cohort and horizon) — business evidence or labelled scenario
- reward economic cost
- Cost of the reward under the documented earning, redemption and expiry policy (CU per cohort and horizon) — programme and accounting record
- programme operating cost
- Platform, administration, training and measurement cost included once (CU per programme period) — business record or user scenario
- incremental service cost
- Additional support or delivery cost associated with the scenario change (CU per cohort and horizon) — business record or user scenario
Keep cash timing and any outstanding reward obligation beside this contribution view; neither is automatically represented by the formula.
- Freeze the cohort and baseline before observing the result.
- Calculate contribution, not revenue, on the same product and service boundary.
- Estimate only the incremental repeat purchases or retained customers and label the evidence quality.
- Map rewards through issue, earning, redemption, expiry and economic cost.
- Add programme and incremental service cost once.
- Run downside, base and upside scenarios over the same finite horizon.
- Review cash obligations, capacity and local privacy or promotion requirements separately.
Worked example: a bounded repeat-purchase scenario
Invented tax-excluded scenario: 40 incremental repeat purchases, 18 CU contribution each, 260 CU reward economic cost, 180 CU programme operations and 80 CU added service cost.
| Line | Calculation | CU |
|---|---|---|
| Incremental member contribution | 40 × 18 | 720 |
| Reward economic cost | entered bounded cost | (260) |
| Programme operating cost | entered for period | (180) |
| Incremental service cost | entered for cohort | (80) |
| Scenario value | 720 - 260 - 180 - 80 | 200 |
| Incremental purchases | Contribution | Reward + programme + service | Scenario value |
|---|---|---|---|
| 20 | 360 | (520) | (160) |
| 40 | 720 | (520) | 200 |
| 60 | 1,080 | (520) | 560 |
Avoid the common loyalty accounting mistakes
- Treating all member revenue or repeat purchases as incremental.
- Using points issued as both a liability and an immediate economic cost without a policy.
- Ignoring reward fulfilment, support and platform operations.
- Changing cohort, horizon or product mix between baseline and programme cases.
- Using revenue margin while omitting contribution and service cost.
- Assuming a headline retention statistic applies to this business.
Loyalty programme questions
- Can I compare member revenue with programme cost?
- Not safely. First isolate incremental contribution after the declared variable cost boundary, then subtract reward, operating and service costs.
- What is the cost of a point?
- Use the business documented economic-cost and obligation policy. Face value, issue value, expected redemption cost and cash timing can differ.
- Does higher member retention prove the programme worked?
- No. Member selection, product mix and other changes can explain the difference. Preserve an aligned baseline and label uncertainty.
Sources and methodology
- Customer Retention Profit Impact methodology — Margin101: Product-owned bounded cohort, contribution and programme-cost mechanics.
- Customer Profitability Diagnostic methodology — Margin101: Customer contribution after acquisition, service and retention costs.
- Profitability of loyalty reward programs: An analytical investigation — Omega: Supports conditional programme economics; no uplift or reward rate is imported.
Test retention and customer profitability separately
- Customer Retention Profit Impact Planner
Test whether a proposed retention improvement covers its programme cost for one cohort
- Customer Profitability Diagnostic
Diagnose customer profitability after service costs
- Customer Lifetime Value Planner
Estimate bounded contribution value across a chosen retention horizon